Case ReportPublished empirical studyApr. 26, 2025
AAB-CASE-2025-RV-036
Briteller: Shining a Light on AI Recommendation for Children
CHI 2025; arXiv:2503.22113; ACM 10.1145/3706598.3714106.
This page documents an AI literacy or AI education case for registry purposes. It is descriptive and does not imply AAB endorsement of any specific tool, provider, or intervention.
01
Implementation
University HCI labs
02
Learning context
Informal learning
03
AI role
Tutor
04
Outcome signal
Concept learning
Registry Facets
0
Education Level
- 6-8
- 9-12
Subject Area
- AI literacy
Use Case Type
- Design research
Stakeholder Group
- Students
AI Capability Type
- Recommendation systems
Implementation Model
- Informal learning
Evidence Type
- User study
Outcomes Domain
- Concept learning
Implementing Organization
1
Organization Type
University HCI labs
Location
USA / Canada
Primary Facilitator Role
Researchers
Learning Context
2
Setting Type
- Informal learning
Session Format
Lab user study with physical and AR Briteller
Duration
Design iteration + evaluation
Group Size
n = 10 middle school students
Devices
Optical tangible + AR
Constraints
- Lab scale
- Hardware cost
- AR access
Learner Profile
3
Age Range
Middle school
Prior AI Exposure Assumed
Heavy recommender app use
Prior Programming Background Assumed
Limited
Educational Intent
4
Primary Learning Goals
- Teach dot product via embodied light metaphor
- Compare AR extensions
Secondary Learning Goals
- Link to privacy and filter bubbles
What This Was Not
- Not nationwide deployment study
AI Tool Description
5
Tool Type
Tangible optics + AR for vectors
AI Role
- Tutor
Languages
English
User Interaction Model
- Manipulate beams; edit vectors in AR
Safeguards
- Eye safety
- Honest limits of metaphor vs production RS
Activity Design
6
Activity Flow
- Build optical prototype
- Add AR
- Evaluate
Human Vs AI Responsibilities
- System explains; users critique platforms
Scaffolding Strategies
- Embodied before symbolic
Observed Challenges
7
Educators Reported
- Recommender opacity harms youth
- Math abstraction barrier
Design Adaptations
8
Adaptations
- Hybrid tangible+AR overcomes pure optical limits
Reported Outcomes
9
Engagement
- Hands-on engagement
Learning Signals
- Authors report positive initial signals
Educators Reflection
Design insights for embodied recommender literacy.
Ethical & Privacy Considerations
10
Privacy
- Child study ethics
- AR data if captured
Evidence Type
11
Evidence
- Post assessment
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Classroom kits
- Transfer tests to real apps
Relevant Research Domains
- TUI
- AI literacy
- Recommenders
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
Middle school
Setting
Lab
AI Function
Explain RS math
Pedagogy
Embodied
Risk Level
Low
Data Sensitivity
Low
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-036
Publication Status
Published empirical study
Tags
case6-8USA / CanadaInformal learningRecommendation systemsAI literacyDesign research